Secondary data analysis of British population cohort studies: A practical guide for education researchers.

S. Cave, Sophie von Stumm
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引用次数: 3

Abstract

BACKGROUND Britain is rich in longitudinal population cohort studies that posit valuable data resources for social science. However, education researchers currently underutilize these resources. AIMS The current paper (1) outlines the power and benefits of secondary data analyses for educational science and (2) provides a practical guide for education researchers on the characteristics, data, and accessibility of British population cohort studies. METHODS We identified eight British population cohort studies from the past 40 years that collected scholastic performance data during primary and secondary schooling, including (1) Avon Longitudinal Study of Parents And Children (ALSPAC), (2) Twins Early Development Study (TEDS), (3) Effective Pre-School, Primary and Secondary Education Project (EPPSE), (4) Millennium Cohort Study (MCS), (5) Born in Bradford (BiB), (6) Next Steps (LYSPE1), (7) Understanding Society (US), and (8) Our Future (LYSPE2). Participants across these studies were born between 1989 and 2010, and followed up at least once and up to 68 times, over periods of 7 to 29 years. For each study, we summarize here the context and aims, review the assessed variables, and describe the process for accessing the data. CONCLUSIONS We hope this article will encourage and support education researchers to widely utilize existing population cohort studies to further advance education science in Britain and elsewhere.
英国人口队列研究的二次数据分析:教育研究者的实用指南。
英国有丰富的纵向人口队列研究,为社会科学提供了宝贵的数据资源。然而,教育研究者目前没有充分利用这些资源。本文(1)概述了二级数据分析对教育科学的作用和好处,(2)为教育研究者提供了关于英国人口队列研究的特征、数据和可及性的实用指南。方法选取了英国过去40年的8项人口队列研究,收集了中小学教育期间的学习成绩数据,包括:(1)雅芳父母与儿童纵向研究(ALSPAC),(2)双胞胎早期发展研究(TEDS),(3)有效的学前、小学和中学教育项目(EPPSE),(4)千年队列研究(MCS),(5)出生在布拉德福德(BiB),(6)下一步(LYSPE1),(7)理解社会(US),(5)出生在布拉德福德(BiB)。(8)我们的未来(LYSPE2)。这些研究的参与者出生于1989年至2010年之间,在7年至29年的时间里,他们被随访了至少一次,最多68次。对于每项研究,我们在这里总结了背景和目的,回顾了评估的变量,并描述了访问数据的过程。结论希望本文能鼓励和支持教育研究人员广泛利用现有的人口队列研究,进一步推动英国和其他国家的教育科学发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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